Find Academic Supervisors

• Relational Leadership
• Social Networks
• Knowledge Sharing
• +3 more

Andrew Parker serves as Professor in Leadership at Durham University Business School, joining in 2021 after academic positions at the University of Exeter and Grenoble Ecole de Management, with visiting appointments at the University of Kentucky and University of Melbourne. He holds a PhD in Sociology from Stanford University (2011). His educational background: PhD in Sociology, Stanford University, 2011 Professor Parker's research employs social network theory to investigate relational leadership, knowledge sharing, problem-solving processes, turnover, performance, and well-being within organizations. With fieldwork spanning over 90 multinational corporations and government agencies, his work bridges theoretical rigor and practical application. Key research domains include: Relational Leadership dynamics Organizational Social Network structures Knowledge Sharing mechanisms Relational Energy flows Cross-domain multiplex relationships Gender-inclusive network practices His recent publications (2023-2025) reveal evolving focus on dynamic knowledge networks in volatile environments, women's leadership pathways through network analysis, high-stakes collaboration under time pressure (including Formula One racing studies), and methodological innovations in social contagion modeling. These works consistently integrate organizational behavior with advanced network analytics across disciplines including management, sociology, and information systems. No scientific awards are documented in the source material, though his editorial role at Decision Sciences represents significant scholarly contribution. Professor Parker supervises doctoral candidates Wendy Wang and Seraphina Peng. His research is empirically grounded through extensive consulting engagements with global entities including Western Digital, Cisco, World Bank, McKinsey, Microsoft, and Pfizer, enabling real-world validation of network theories. These partnerships facilitate longitudinal studies of organizational networks across diverse sectors from technology to healthcare.

• Game Theory
• Behavioral Economics
• Microeconomic Theory
• +2 more

Antoni Rubí Barceló serves as a Full Professor in the Department of Applied Economics at the University of the Balearic Islands' Faculty of Economics and Business, where he also holds the position of vice dean. His academic career spans over 15 years at UIB since joining in 2008, following an Assistant Professor role at Pompeu Fabra University (2004-2008) and a Visiting Research Fellowship at the University of Cambridge in 2008. Educational Background: Bachelor's Degree in Business Administration and Management from UIB (2002) PhD in Economics from Pompeu Fabra University (2008) under supervision of Professor Antonio Cabrales Professor Rubí Barceló's research focuses on Game Theory and Behavioral Economics, with significant contributions to understanding strategic decision-making, group conflicts, and bargaining dynamics. His work bridges theoretical economics with practical applications in political economy, environmental policy, and social choice. The research demonstrates particular strength in modeling heterogeneous group behavior, contest theory, and coalition formation within complex strategic environments. His publication record shows consistent output in top-tier economics journals including Theory and Decision, Social Choice and Welfare, Journal of Economic Behavior and Organization, and Public Choice. The research portfolio reveals evolving interests from foundational game theory (2012-2014) toward increasingly applied contexts involving policy-making, environmental regulation, and social polarization (2016-2024), while maintaining rigorous theoretical underpinnings. Professor Rubí Barceló actively contributes to two major research groups: the Decision Science (DSL) group and the Strategic Conflict and Interaction (CIE) group, both recognized as consolidated R&D&I structures. His teaching portfolio centers on strategic decision-making, with primary responsibility for the 'Games and Strategic Decisions' course across multiple degree programs including Economics, Tourism, and Mathematics, as well as supervising Economics thesis projects.

Abdullah AlmaatouqView profile

Associate Professor

• Computational Social Science
• Network Science
• Collective Intelligence
• +3 more

Abdullah Almaatouq is the Douglas Drane Career Development Associate Professor in Information Technology and Management at the MIT Sloan School of Management. His research focuses on enhancing cooperation, coordination, and collective intelligence within decision-making systems such as teams, crowds, and markets. He holds a PhD in Computational Science and Engineering from MIT, alongside dual master's degrees in Media Arts and Sciences (MIT Media Lab) and Computational Science and Engineering. Prior to MIT, he earned his undergraduate degree from the University of Southampton, UK. His research interests include computational social science, network science, and the design of effective collective decision systems. He is affiliated with the MIT Center for Computational Engineering, MIT Center for Collective Intelligence, and MIT Connection Science Research Initiative. His work emphasizes advancing social science methodologies through innovative experimental designs and theory-building. Abdullah’s publications explore topics like group synergy, adaptive social networks, and human-AI collaboration. His recent work highlights the conditions under which combining human and AI capabilities yields optimal results, particularly in complex decision-making tasks. He also investigates how task complexity and group dynamics influence collective performance. Notable contributions include studies on the wisdom of crowds, algorithmic mediation in social networks, and the moderating effects of task complexity on group outcomes. His research bridges computational methods with behavioral insights, aiming to design systems that amplify human capabilities in collaborative environments.

Sandra GarrettView profile

Lecturer

• Cognitive Human Factors
• Healthcare Systems Engineering
• Information Flow and Knowledge Development within Complex Environments

Dr. Sandra Garrett is a Lecturer in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her academic expertise bridges Industrial Engineering with Cognitive Human Factors and Healthcare Systems Engineering. Ph.D. Industrial Engineering (Purdue University, 2007) M.S. Industrial Engineering (Purdue University, 2002) B.S. Industrial Engineering (Clemson University, 1999) Her research focuses on: Cognitive Human Factors Healthcare Systems Engineering Information Flow in Complex Environments Recent publications explore communication quality in healthcare facilities, medication administration safety, knowledge sharing systems, and pandemic preparedness. Key themes include improving safety through better information flow, optimizing team performance in critical environments, and analyzing cognitive dimensions of expertise. Professional Affiliation Human Factors and Ergonomics Society (HFES)

Stefan Christoffer GottliebView profile

Lecturer

• Construction Industry
• Sustainability
• Circular Economy
• +5 more

Stefan Christoffer Gottlieb serves as a Lecturer in the Department of Technology and Innovation within the Faculty of Engineering at the University of Southern Denmark. His academic profile centers on the intersection of construction industry practices, sustainability transitions, and institutional dynamics, with extensive publications spanning circular economy implementation, relational contracting, and strategic partnerships in Nordic construction contexts. Gottlieb's research investigates how institutional pressures shape sustainable practices in construction, focusing on client-driven change, inter-organizational networks, and regulatory frameworks. His work employs qualitative methodologies to analyze institutional complexity in megaprojects, waste management systems, and the adoption of biobased materials. Key themes include the tension between standardization and individualization in circular construction, the role of trade associations in procurement, and the rhetorical construction of project complexity. Recent publication trends reveal a concentrated focus on circular economy transitions (2023-2025), with significant contributions to understanding market creation mechanisms, network governance in sustainable construction, and the institutional barriers to biogenic material adoption. His work consistently bridges theoretical institutional frameworks with practical industry applications, particularly in Nordic construction contexts. Scientific recognition includes: Taylor and Francis Best theoretical paper award (2025 and 2022) CME best paper on transformative societal impact (2022) No information is available regarding student supervision or research grants in the provided materials. Gottlieb's collaborative work with the Circular Built Environment Network (CBEN) and involvement in Nordic construction economics conferences indicate active participation in research consortia focused on sustainable industry transformation, though specific laboratory or dedicated research team structures are not documented.

• Artificial Intelligence
• Quantum Machine Learning
• Deep Learning
• +6 more

Prayag Tiwari is a Senior Lecturer at Halmstad University's School of Information Technology, where he conducts cutting-edge research at the intersection of artificial intelligence, quantum computing, and healthcare applications. With an SMIEEE designation and an active research profile, Dr. Tiwari contributes significantly to both academic and practical advancements in intelligent information systems. His research interests span a diverse spectrum including Artificial Intelligence, Quantum Machine Learning, Deep Learning, Healthcare, Bioinformatics, NLP/LLM, Computer Vision, Multimodal Learning, and Intelligent Systems. This interdisciplinary focus enables him to tackle complex problems across multiple domains, particularly in developing quantum-inspired algorithms for healthcare applications and advancing multimodal learning techniques for real-world challenges. Dr. Tiwari's publication record demonstrates consistent high-impact contributions across multiple domains, with recent work showing a clear trend toward quantum machine learning applications, particularly in healthcare and bioinformatics. His research frequently combines traditional deep learning approaches with quantum computing principles to develop novel solutions for drug interaction prediction, medical data processing, and multimodal analysis. The interdisciplinary nature of his work is evident in publications spanning computer vision, natural language processing, and blockchain applications for healthcare security. 2022 Best Paper Award for a publication in Neural Networks Multiple Highly Cited Papers in various journals Editor for Neural Networks and IEEE Transactions on Fuzzy Systems As an academic leader, Dr. Tiwari serves as an editor for prestigious journals including Neural Networks and IEEE Transactions on Fuzzy Systems, contributing to the advancement of knowledge in his fields of expertise. His extensive publication record in top-tier venues such as TMLR, IJCV, TNNLS, AAAI, ACL, CIKM, ICASSP, ECIR, and ECML demonstrates significant scholarly impact. While specific grant information isn't detailed in the provided materials, his research output suggests active funding for projects in quantum machine learning and healthcare applications. Dr. Tiwari's work appears to be conducted within collaborative research environments at Halmstad University, particularly within the School of Information Technology's research groups focused on artificial intelligence and quantum computing applications. His publications frequently involve multi-institutional collaborations, suggesting active participation in both national and international research networks focused on advancing machine learning techniques for practical applications.

Oliver BaumannView profile

Professor

• Organization Theory
• Strategic Management
• Innovation Management
• +4 more

Oliver Baumann serves as Professor with special responsibilities at the Department of Business & Management within the Faculty of Business and Social Sciences at the University of Southern Denmark. He concurrently leads the Section Strategic Organization Design (SOD), driving research at the intersection of organizational theory, strategic management, and innovation processes. His research program investigates how organizations develop adaptive capabilities amid technological change and environmental uncertainty. Key contributions examine modular organizational designs, performance feedback systems, and collaborative search mechanisms in complex problem-solving contexts. Recent work increasingly addresses the integration of artificial intelligence and blockchain technologies into organizational structures, with empirical studies spanning platform ecosystems and news industry transformations. His scholarship bridges theoretical organization studies with practical challenges of technological adaptation across multiple sectors. Analysis of his publication trajectory reveals growing emphasis on computational approaches to organizational design, particularly regarding how algorithmic systems interact with human decision-making in dynamic environments. His 2023-2025 work shows heightened focus on AI-mediated collaboration, platform ecosystem dynamics, and adaptation mechanisms in disrupted industries like media and manufacturing. The consistent thread across his scholarship remains understanding how organizations balance exploration and exploitation under varying conditions of complexity. As head of the Strategic Organization Design section, Baumann directs research initiatives that connect with SDU's Digital Democracy Centre through investigations of technology-mediated collaboration and information ecosystem dynamics. His leadership role facilitates cross-disciplinary engagement with societal implications of digital transformation.

• Innovation Management
• Business Strategy
• Ecosystems and Sustainability
• +5 more

Bart Van Looy is a Professor at the Faculty of Economics and Business (FEB) at KU Leuven , where he works within the Department of Management, Strategy and Innovation . He is actively involved in multiple research initiatives and serves on various academic committees including the Council of the Faculty of Economics and Business. Research Focus: Innovation Management, Business Strategy, Ecosystems, Technology Development Key Projects: Sustainability in sports organizations, STEAM practices for cultural ecosystems, adaptive strategy formulation in SMEs His research spans innovation typologies , knowledge management , and intellectual property across diverse sectors including biotechnology, pharmaceuticals, and cultural industries. While no explicit awards are listed in the provided text, his extensive publication record and leadership roles indicate significant academic contributions. He supervises various research projects and contributes to teaching courses in innovation management and strategy. His recent publications analyze: Radical/disruptive innovation classifications Biotech cluster development Co-patenting trends in Europe Knowledge networks in innovation University-industry technology transfer

Alexandra ZafirogluView profile

Professor

• Cybernetics
• Cultural Anthropology
• Ethics in Technology
• +7 more

Alexandra Zafiroglu is a Professor of Cybernetics at the School of Cybernetics within the ANU College of Systems & Society at Australian National University (ANU), and a Fellow of the ANU Futures scheme. She holds a PhD in Cultural Anthropology from Brown University (2004) and has extensive industry experience at Intel Corporation (2004–2019), where she contributed to R&D and commercialization across Advanced Research, Digital Home, and IoT divisions, co-inventing 11 patents. Her work bridges social sciences, technology ethics, and design, focusing on the role of social scientists in ensuring accountability and data rights in cyber-physical systems deployment. She is also known for her innovative 'crochet-and-felting' figures to foster human connection in remote work environments. Her research interests include ethics in AI, gender-inclusive technology policy, and transdisciplinary research methodologies. Recent publications highlight themes such as complex systems design, AI governance in smart cities, and the future of libraries. She actively contributes to professional communities like the American Anthropological Association and the Ethnographic Praxis in Industry Community. Awards include recognition for her ANU Futures Fellowship. While no formal advisees are listed, her impact spans industry-academia collaboration and policy advocacy. She advocates for human-centered approaches in technology development, emphasizing transparency and equity in emerging systems. Her interdisciplinary work reflects a commitment to merging anthropological insights with cutting-edge technological innovation.

Teresa M. McCarthy ByrneView profile

Associate Professor

• Manufacturing Geographic Diversification
• Omnichannel Fulfillment
• Innovation in the Apparel Supply Chain
• +5 more

Teresa M. McCarthy Byrne serves as Associate Professor of Marketing and Global Supply Chain Management at Bryant University's College of Business, where she coordinates the GSCM program with over 20 years of combined industry and academic experience. Her dual expertise bridges theoretical research and practical supply chain applications. Her educational background includes: Ph.D. in Supply Chain Management from The University of Tennessee, Knoxville M.S. in Business from the University of Rhode Island B.S. in Business Administration from University of Massachusetts at Amherst McCarthy Byrne's research investigates critical supply chain vulnerabilities through the lens of manufacturing geographic diversification as risk management , with particular focus on omnichannel retail fulfillment systems and innovation within fast-fashion supply chains . Her work examines how sales & operations planning (S&OP) frameworks and collaborative forecasting techniques can mitigate disruption risks in global networks, especially within apparel industries where speed-to-market is paramount. This research trajectory demonstrates consistent evolution from foundational supply chain integration studies toward contemporary risk management applications. Analysis of her publication history reveals three dominant thematic clusters: (1) supply chain risk mitigation through geographic and process diversification, (2) omnichannel retail transformation challenges in forecasting and fulfillment, and (3) fashion industry-specific innovations in rapid-response supply systems. These interconnected themes reflect growing scholarly attention to volatility in global supply networks. Her scientific recognition includes: Outstanding Faculty Award (2022) Excellence in Teaching Award (2019) Summer Research Grant (2015) Robert & Christine Staub Faculty Excellence Award (2007) As GSCM Program Coordinator, McCarthy Byrne has developed distinctive experiential learning opportunities including a consulting capstone course that connects students with industry partners. Her teaching portfolio spans supply chain integration, global sourcing, and B2B marketing, emphasizing real-world application through Bryant's career-focused curriculum. While no major external grants are documented beyond the 2015 Summer Research Grant, her professional engagement with Council of Supply Chain Management Professionals and Institute of Supply Management demonstrates industry integration. Though no dedicated research labs are mentioned, her work with the National Retail Federation and Academy of Marketing Science indicates active participation in industry knowledge networks focused on retail supply chain innovation.

• Mergers and Acquisitions
• Cross-border Acquisitions
• Post-merger Integration
• +5 more

Taco Reus serves as Professor in Global Strategy at the Department of Strategic Management and Entrepreneurship, Rotterdam School of Management (RSM), Erasmus University Rotterdam. He maintains active roles across research, teaching, and editorial functions within the academic community. His scholarly work primarily investigates how firms navigate strategic environments, with a specialized focus on mergers and acquisitions. Professor Reus examines contextual factors in post-merger integration, particularly cultural and institutional differences in cross-border acquisitions, alongside procedural elements like justice mechanisms and emotional capabilities that influence integration success. His interdisciplinary approach combines insights from psychology and strategic management to develop comprehensive frameworks for understanding complex organizational phenomena. Professor Reus has established a significant scholarly presence through publications in premier journals including Academy of Management Journal, Academy of Management Review, Strategic Management Journal, and Journal of International Business Studies. His research demonstrates consistent impact, with several publications accumulating hundreds of citations, indicating substantial influence within the strategic management and international business fields. Outstanding Reviewer award from Academy of Management Review (2009) Outstanding Reviewer award from Academy of Management Review (2011) Nominated Professor of the Year by BA students (2010, 2011, 2012) As an educator, Professor Reus teaches foundational and specialized courses across RSM's undergraduate and graduate programs. His teaching portfolio spans introductory business courses to advanced topics in mergers and acquisitions and global strategy. He earned his academic credentials from the University of Amsterdam (Masters in Psychology) and Florida State University (PhD in Strategic Management), where his dissertation on international acquisitions received recognition in prestigious competitions. Beyond his primary academic appointment, he contributes to RSM BV's entrepreneur sessions and serves on the editorial board of the Journal of Management.

Thijs BoogertView profile

Lecturer

• Team flow
• Collaboration dynamics
• Entrepreneurship
• +3 more

Thijs Boogert serves as a lecturer-researcher at Rotterdam University of Applied Sciences within the Rotterdam Business School. He is affiliated with the Business Innovation Knowledge Center and holds responsibility for the Entrepreneurship minor program. His primary research focus is on team flow —the phenomenon where teams operate in an optimal state of collective concentration, energy, and connection. Collaborating with researcher Justin Boers, he investigates how team flow develops within innovation and startup environments, examining its impact on collaboration quality, creative output, and overall team performance. Boogert actively implements team flow insights into educational practice through the Business Administration program. He utilizes specialized tools and interventions to enhance team collaboration climates, enabling students to work more effectively in interdisciplinary settings while addressing complex challenges faced by small and medium enterprises. Prior to his academic career, Boogert accumulated over 15 years of consultancy experience, primarily within the financial sector, where he assisted organizations with strategic transformations, collaboration improvement, and adaptability enhancement in rapidly evolving markets. This practical background continues to inform his research and teaching methodology. Additionally, Boogert is a public speaker who connects personal narratives—including his participation in the Marathon des Sables, a 250-kilometer desert ultramarathon—with scientific insights to inspire organizations toward high-performance collaboration characterized by energy, trust, and exceptional results.